New Methods in Automatic Extracting
Journal of the ACM (JACM)
Robust information extraction from automatically generated speech transcriptions
Speech Communication - Special issue on accessing information in spoken audio
Prosody-based automatic segmentation of speech into sentences and topics
Speech Communication - Special issue on accessing information in spoken audio
Robust Classification for Imprecise Environments
Machine Learning
Automatic generation of concise summaries of spoken dialogues in unrestricted domains
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Connectionist speech recognition of Broadcast News
Speech Communication - Special issue on automatic transcription of broadcast news data
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
An Advanced Integrated Architecture for Wireless Voicemail Data Retrieval
ICOIN '01 Proceedings of the The 15th International Conference on Information Networking
Using corpus-derived name lists for named entity recognition
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Information extraction from voicemail
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Information extraction from voicemail transcripts
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Incorporating speaker and discourse features into speech summarization
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Extractive spoken document summarization for information retrieval
Pattern Recognition Letters
Scalable summaries of spoken conversations
Proceedings of the 13th international conference on Intelligent user interfaces
Time-Compressing Speech: ASR Transcripts Are an Effective Way to Support Gist Extraction
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Meta Comments for Summarizing Meeting Speech
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Semi-automated logging of contact center telephone calls
Proceedings of the 17th ACM conference on Information and knowledge management
A Comparative Study of Probabilistic Ranking Models for Chinese Spoken Document Summarization
ACM Transactions on Asian Language Information Processing (TALIP)
Extrinsic summarization evaluation: A decision audit task
ACM Transactions on Speech and Language Processing (TSLP)
Speech summarization without lexical features for Mandarin broadcast news
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
Translating emphatic/contrastive focus from English to Mandarin Chinese
Machine Translation
SAICSIT '10 Proceedings of the 2010 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists
Sumstega: summarisation-based steganography methodology
International Journal of Information and Computer Security
A pilot study of opinion summarization in conversations
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Extractive chinese spoken document summarization using probabilistic ranking models
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Spoken Content Retrieval: A Survey of Techniques and Technologies
Foundations and Trends in Information Retrieval
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This aticle presents trainable methods for extracting principal content words from voicemail messages. The short text summaries generated are suitable for mobile messaging applications. The system uses a set of classifiers to identify the summary words with each word described by a vector of lexical and prosodic features. We use an ROC-based algorithm, Parcel, to select input features (and classifiers). We have performed a series of objective and subjective evaluations using unseen data from two different speech recognition systems as well as human transcriptions of voicemail speech.